Tired of copying a chat into the next agent? Pick up the same task where you left off, or tell one agent to put the others to work.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/rxthlessbeats/agent-cowork-memory && cp agent-cowork-memory/*.md ~/.claude/agents/Resumen de Subagents
# Agent Cowork Memory (ACM) Tired of copying a chat into the next agent? Pick up the same task where you left off, or tell one agent to put the others to work. [Demo](https://acm-website-sand.vercel.app/)          Codex ·  Claude Code ·  Cursor ·  OpenCode ## Demo [ACM official site](https://acm-website-sand.vercel.app/) ## Install With [Node 24](https://nodejs.org) or newer: ```sh npx -y agent-cowork-memory setup ``` Setup adds ACM to Cursor, and to Codex, Claude Code, and OpenCode when they are installed; it says which it skipped. Installed one later? Run setup again. Restart your agents, and ACM is available in every project. Each agent starts ACM through npx, which runs the latest release whenever the npm registry answers within 3 seconds, so there is nothing to update. Coming from 0.2? 0.3 starts a fresh database (`~/.agent-cowork-memory/acm.sqlite3`); 0.2's notes stay in `state.sqlite3`, untouched, and are not carried over. Tested for real on Linux and WSL. macOS and Windows pass CI; real runs welcome. ## Use ### Memory Sharing Open the same project in Codex and Cursor. To pick up a chat in the other agent, ask: > Use ACM to continue from Cursor. Or, in Cursor: > Use ACM to continue from Codex. Every agent can see every chat in the project. If there is more than one, the agent lists them (agent, time, thread, first message, and whether ACM started it for a delegated job) and asks you which one to continue. You can also name it: > Use ACM to continue the Codex chat about the trip. Related work goes together in a **thread**: continuing a chat, or delegating from it, keeps the work on one thread, and a new chat can join one of the project's open threads. ACM keeps each thread's timeline as things happen (chats joining, jobs starting and finishing, notes added), so any agent can see where the work stands. Ask your agent to remember a decision, and every agent in the project sees it. Notes stay true: when a new note may contradict an old one, the agent is shown the old one and replaces it if it's wrong, and when a file a note mentions changes, the note is marked to re-check. ### Delegate to other agents Any agent can hand work to the others: > Tell codex to write plan.md, and claude to write packing.md. Each agent gets a brief, joins the thread it was sent from, claims the files it edits so they don't collide, and reports back. Agents run in the background. With [herdr](https://herdr.dev) installed, each one gets its own pane you can watch (`herdr session attach acm`). Delegated agents run in each agent's auto mode: Codex `--approve-for-me`, Claude Code `--permission-mode auto`, and Cursor `--auto-review` (with `--trust --approve-mcps`, so it opens the project and ACM without asking). Safe actions run on their own. When auto mode denies an action, the agent stops, and ACM reports the job as `needs_approval` to the chat that delegated it. A background job still running after 15 minutes is stopped and reported the same way. Approve it there, and that agent runs the step or delegates again. If an agent asks a question in its herdr pane instead, ACM reports the job as `blocked` until you answer it there. ## MCP tools | Tool | What it does | | --------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `context` | Your thread and its timeline, the project's notes (after the first call, only what's new), open threads, recent jobs, who is working, and held files. Pass `hold` to claim files before writing, `thread` to join one, `done` to close yours. `stale` lists notes whose files changed, to re-check. | | `note_add` | Saves a note every agent sees, and shows notes it may contradict. `tier`: `short` (default, kept 7 days) or `long`; `supersedes`: the note it replaces. | | `note_search` | Finds notes and delegated jobs' results. | | `chats` | Lists recent chats from every agent in the project, and marks the ones ACM started. | | `resume` | Asks you which chat to continue when there are several, then reads it and joins its thread. | | `delegate` | Starts other agents with a brief, in herdr panes or in the background, and waits for them. | | `delegate_wait` | Keeps waiting on this chat's delegated agents. | ACM tells which chat it is in on its own; no tool needs a session or, from the project folder, a path (every tool takes an optional `repo_path`). ## CLI | Command | What it does | | ------------------------------------------------------------- | ---------------------------------------------------------------------------- | | `acm setup` | Adds ACM to your agents. | | `acm mcp --harness <agent>` | Runs the MCP server; agents start it themselves. | | `acm status [--repo <dir>] [--chat <id>] [--harness <agent>]` | The project's jobs, held files, and a chat's thread, as JSON. | | `acm doctor` | Checks the install: Node, the database, herdr, and which agents are on PATH. | | `acm backup [--to <file>]` | Copies the database. | `--home <dir>` (or `ACM_HOME`) moves ACM's state folder from `~/.agent-cowork-memory`. Run them with `npx -y agent-cowork-memory <command>`, or `acm` once it's installed globally.
Lo que la gente pregunta sobre agent-cowork-memory
¿Qué es rxthlessbeats/agent-cowork-memory?
+
rxthlessbeats/agent-cowork-memory es subagents para el ecosistema de Claude AI. Tired of copying a chat into the next agent? Pick up the same task where you left off, or tell one agent to put the others to work. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-06.
¿Cómo se instala agent-cowork-memory?
+
Puedes instalar agent-cowork-memory clonando el repositorio (https://github.com/rxthlessbeats/agent-cowork-memory) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar rxthlessbeats/agent-cowork-memory?
+
Nuestro agente de seguridad ha analizado rxthlessbeats/agent-cowork-memory y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene rxthlessbeats/agent-cowork-memory?
+
rxthlessbeats/agent-cowork-memory es mantenido por rxthlessbeats. La última actividad registrada en GitHub es del 2026-10-06, con 0 issues abiertos.
¿Hay alternativas a agent-cowork-memory?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega agent-cowork-memory en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/rxthlessbeats-agent-cowork-memory)<a href="https://claudewave.com/repo/rxthlessbeats-agent-cowork-memory"><img src="https://claudewave.com/api/badge/rxthlessbeats-agent-cowork-memory" alt="Featured on ClaudeWave: rxthlessbeats/agent-cowork-memory" width="320" height="64" /></a>Más Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
The agent engineering platform.